A Database of Cell-to-cell Heterogeneity in DNA Methylation

About HeteroMeth

HeteroMeth is a database of cell-to-cell heretogeneity in DNA methylation based on BS-seq data.
DNA methylation is an important epigenetic mark that plays a vital role in gene expression and cell differentiation. Whereas the average DNA methylation level among a group of cells has been extensively documented, the cell-to-cell heterogeneity in DNA methylation remains less investigated. Here we established a gold standard of the cell-to-cell heterogeneity in DNA methylation. Based on that we optimized a computational pipeline for estimating the heterogeneity in DNA methylation from bulk BS-seq data. We further built HeteroMeth, a database for searching, browsing, visualizing, and downloading the heterogeneity in DNA methylation for a total of 141 samples in humans, mice, Arabidopsis, and rice. The optimization of the computational strategy and the construction of the database in this study complement the recent experimental attempts on single-cell DNA methylatomes and will facilitate the understanding of epigenetic mechanisms underlying cell differentiation and embryonic development.

Citation

Qing Huan, Yuliang Zhang, Shaohuan Wu, and Wenfeng Qian. HeterMeth: a database of cell-to-cell heterogeneity in DNA methylation. Genomics, Proteomics & Bioinformatics

News


2018-8-21:
"The term 'gene name' has been added to the database."
2018-8-21:
"Users can select the format of downloadable files now."
2018-7-16:
"The paper is accepted by GPB !"
2018-3-30:
"The HeteroMeth database goes online."

Accessing HeteroMeth

Gene Search

After submitting a list of gene IDs, the DNA methylation level and Shannon entropy for each gene can be browsed and downloaded.

Genome Browse

The landscape of heterogeneity in DNA methylation is shown in the UCSC Genome Browser.

Browse and Download

Browse and download the processed HeteroMeth data.

Map